Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2546
Single Precision Score
1236
Half Precision Score
3077
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 09:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
2958
552.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2067
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5772
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4697
5.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
13754
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
86% |
1575
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
3428
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1880
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5935
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13493
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12150
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14703
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2773
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
511
681.7 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1832
40.9 IPS |
